
Maximizing the Bregman divergence from a Bregman family
The problem to maximize the information divergence from an exponential f...
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Properties of Unique Information
We study the measure of unique information UI(T:X∖ Y) defined by Bertsch...
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Unique Information and Secret Key Decompositions
The unique information (UI) is an information measure that quantifies a ...
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Conditional independence ideals with hidden variables
We study a class of determinantal ideals that are related to conditional...
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Unique Informations and Deficiencies
Given two channels that convey information about the same random variabl...
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Geometry of Policy Improvement
We investigate the geometry of optimal memoryless time independent decis...
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Hierarchical Models as Marginals of Hierarchical Models
We investigate the representation of hierarchical models in terms of mar...
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Quantifying Morphological Computation based on an Information Decomposition of the Sensorimotor Loop
The question how an agent is affected by its embodiment has attracted gr...
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Maximal Information Divergence from Statistical Models defined by Neural Networks
We review recent results about the maximal values of the KullbackLeible...
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Scaling of Model Approximation Errors and Expected Entropy Distances
We compute the expected value of the KullbackLeibler divergence to vari...
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Johannes Rauh
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